In this video, Dr. Steve Goodman, Director of Michigan's Integrated Behavior and Learning Support Initiative, discusses considerations for ensuring that intensive interventions are implemented with fidelity.
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In this video, Rob Horner, Professor of Special Education at the University of Oregon and co-Director of OSEP Technical Assistance Center on PBIS and the OSEP Research and Demonstration Center on School-wide Behavior Support, discusses how data systems can be used within the context of intensive intervention.
In this video, Dr. Catherine Bradshaw, Deputy Director of the John Hopkins Center for the Prevention of Youth Violence and Co-Director of the John Hopkins Center for Prevention and Early Intervention, discusses PBIS, who it works for, and under what conditions it works best.
In this video, Lucille Eber, E.D.., Statewide Coordinator of Illinois’ Emotional and Behavioral Disabilities (EBD) Network, discusses how behavioral support staff can assist and collaborate with general education teachers to support students with intensive behavioral needs.
In this video, Mike Jacobsen, Assessment and Curriculum Director, White River School District in Washington State discusses how their districts planned for and implemented intensive intervention within the districts RTI model.
The purpose of this guide is to provide an overview of behavioral progress monitoring and goal setting to inform data-driven decision making within tiered support models and individualized education programs (IEPs).
Data-based individualization (DBI) is a research-based process for individualizing and intensifying interventions through the systematic use of assessment data, validated interventions, and research-based adaptation strategies. The DBI process includes five iterative steps:
This webinar describes contextual factors that can support or impede the implementation of intensive intervention.
This webinar shares how to set ambitious behavioral goals for students by using a valid, reliable progress monitoring measure, and how to write measurable and realistic goals focused on the replacement behavior.
This updated training module provides a rationale for intensive intervention and an overview of data-based individualization (DBI), NCII’s approach to providing intensive intervention. DBI is a research-based process for individualizing validated interventions through the systematic use of assessment data to determine when and how to intensify intervention. Two case studies, one academic and one behavioral, are used to illustrate the process and highlight considerations for implementation.